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Les articles qui composent ce numéro sont liés à une ou plusieurs disciplines choisies parmi la philosophie, la (neuro)psycholinguistique, la psychologie, l'ergonomie, la pragmatique, la linguistique, la logique et l'informatique.
Relevance, first published in 1986, was named as one of the most important and influential books of the decade in the Times Higher Educational Supplement. This revised edition includes a new Preface outlining developments in Relevance Theory since 1986, discussing the more serious criticisms of the theory, and envisaging possible revisions or extensions. The book sets out to lay the foundation for a unified theory of cognitive science. The authors argue than human cognition has a goal: we pay attention only to information which seems to us relevant. To communicate is to claim someone's attention, and hence to imply that the information communicated is relevant. Thus, a single property - relevance is seen as the key to human communication and cognition. A second important feature of the book is its approach to the study of reasoning. It elucidates the role of background or contextual information in spontaneous inference, and shows that non-demonstrative inference processes can be fruitfully analysed as a form of suitably constrained guesswork. It directly challenges recent claims that human central thought processes are likely to remain a mystery for some time to come. Thirdly, the authors offer new insight into language and literature, radically revising current view on the nature and goals of verbal comprehension, and in particular on metaphor, irony, style, speech acts, presupposition and implicature.
Observing writing: Insights from Keystroke Logging and Handwriting is a timely volume appearing twelve years after the Studies in Writing volume Computer Keystroke Logging and Writing (Sullivan & Lindgren, 2006). The 2006 volume provided the reader with a fundamental account of keystroke logging, a methodology in which a piece of software records every keystroke, cursor and mouse movement a writer undertakes during a writing session. This new volume highlights current theoretical and applied research questions in keystroke logging and handwriting research that observes writing. In this volume, contributors from a range of disciplines, including linguistics, psychology, neuroscience, modern languages, and education, present their research that considers the cognitive and socio-cultural complexities of writing texts in academic and professional settings.
The scope of individual learner differences is broad, yet there is no current, comprehensive, and unified volume that provides an overview of the considerable amount of research conducted on various language learner differences, until now.
A clear and practical introduction to second language acquisition, written for students encountering the topic for the first time.
An integrative overview of network approaches to neuroscience explores the origins of brain complexity and the link between brain structure and function. Over the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject. Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research.
This is the first book to provide a comprehensive review of the burgeoning literature on theory of mind (TOM) after the preschool years and the first to integrate this literature with other approaches to the study of social understanding. By highlighting the relationship between early and later developments, the book provides readers with a greater understanding of what we know and what we still need to know about higher-order TOM. Although the focus is on development in typical populations, development in individuals with autism and in older adults is also explored to give readers a deeper understanding of possible problems in development. Examining the later developments of TOM gives readers a greater understanding of: Developments that occur after the age of 5. Individual differences in rate of development and atypical development and the effects of those differences. The differences in rate of mastery which become more marked, and therefore more informative, with increased age. What it means to have a “good theory of mind.” The differences between first- and second- order theory of mind development in preschoolers, older children, adolescents, and adults. The range of beliefs available to children at various ages, providing a fuller picture of what is meant by “understanding of belief.” After the introduction, the literature on first-order developments during the preschool period is summarized to serve as a backdrop for understanding more advanced developments. Chapter 3 is devoted to the second-order false belief task. Chapters 4 and 5 introduce a variety of other measures for understanding higher-level forms of TOM thereby providing readers with greater insight into other cognitive and social developmental outcomes. Chapter 6 discusses the relation between children’s TOM abilities and other aspects of their development. Chapters 7 and 8 place the work in a historical context. First, the research on the development of social and mental worlds that predated the emergence of TOM is examined. Chapter 8 then provides a comparative treatment of the two literatures and how they complement one another. Ideal as a supplement in graduate or advanced undergraduate courses in theory of mind, cognitive development, or social development taught in psychology and education. Veteran researchers will also appreciate this book‘s unique synthesis of this critical research.
The Rise of Metallurgy in Eurasia is a landmark study in the evolution of early metallurgy in the Balkans. It demonstrates that far from being a rare and elite practice, the earliest metallurgy in the world was a common and communal craft activity.
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain